
Réf. fabricant 4012100002-1
Vendu par elephantrobotics à 6411.30 €. Livré en France, port, TVA et droits de douane éventuels compris, il revient à environ 7711.56 €. Prix relevés le 2026-09-16.
Le coût livré est une estimation pour un article seul expédié en France métropolitaine ; seul le panier du vendeur fait foi.
| Article | 6411.30 € |
|---|---|
| Frais de port | 15.00 € |
| TVA (20 %) | 1285.26 € |
| Total livré | 7711.56 € |
Estimation pour un article seul livré en France métropolitaine, expédié hors UE : des droits de douane et frais de dédouanement peuvent s'ajouter, facturés par le transporteur.
| Poids | 117 kg |
Elephant Robotics focuses on promoting industry talent development in artificial intelligence and robotics. Our Artificial Intelligence (AI) Educational Laboratory Solution aims to provide students with the most comprehensive Robotics and AI discipline experience, including laboratory equipment and teaching content. Laboratory Equipment We provide students with the latest robot hardware, software, and control system equipment to ensure that they can conduct experiments and research in a real-world environment. Embedded Raspberry Pi ecosystem, development-oriented secondary development system ecosystem. Comes with ROS and ROS2, graphical programming with Blockly. Image recognition function, with built-in image recognition algorithms, optional with any camera, and can be matched with different accessories such as monitors, grippers, and suction pumps to achieve multiple application scenarios. High configuration, with LEGO interface. Integrated design, easy to carry. Can perform openCVD, Python programming, inverse kinematics, robot control, machine vision, end effector usage. Robotics and Artificial Intelligence Textbook The textbook is designed to provide students with the opportunity to learn about artificial intelligence robotics. Students will learn about the working principles of robots and the basics of robot visual recognition. By combining these two areas of knowledge, students will be able to develop applications for robotic automation, including automatic recognition and grasping. The course covers a range of interdisciplinary and diverse principles, including: robot component modules, coordinate system concepts, the relationship between linkages and joints, robot forward kinematics, robot inverse kinematics, robot dynamic modeling, trajectory planning for robot motion, python-driven robot applications, multi-sensor fusion applications, computer vision principles and applications, and hand-eye coordination applications. Technical Parameters mechArm 270 PI Ro